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Titlebook: Backward Stochastic Differential Equations with Jumps and Their Actuarial and Financial Applications; BSDEs with Jumps Łukasz Delong Textbo

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Numerical Methods for FBSDEsonte Carlo simulations. In the case of a FBSDE driven by a Brownian motion and a compensated Poisson process we replace the original driving noises by discrete-space martingales. We also use the connection with partial integro-differential equations and we present an explicit-implicit finite difference method for solving a PIDE.
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Textbook 2013heory of BSDEs with Lipschitz generators driven by a Brownian motion and a compensated random measure, with an emphasis on those generated by step processes and Lévy processes. It discusses key results and techniques (including numerical algorithms) for BSDEs with jumps and studies filtration-consis
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https://doi.org/10.1007/978-3-642-22215-3gro-differential equation. A generalization of the Feynman-Kac formula is given. We also deal with a coupled forward-backward SDE in which a solution to the backward component also affects the forward component.
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Sexual Function in the Spinal Cord Patient,e real-world measure. Next, we investigate locally risk minimizing strategies which lead to non-self-financing investment portfolio processes. Finally, we minimize an instantaneous mean-variance risk measure of the insurer’s surplus to derive a hedging strategy. The pricing and hedging strategies are characterized by linear and nonlinear BSDEs.
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